Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.
Jelena BozekLudovica GriffantiStephan LauMark JenkinsonPublished in: NeuroImage (2023)
Keyphrases
- model selection
- sample size
- evaluation criteria
- cross validation
- parameter estimation
- hyperparameters
- random sampling
- regression model
- information criterion
- selection criterion
- machine learning
- mixture model
- variable selection
- automatic model selection
- generalization error
- feature selection
- model selection criteria
- leave one out cross validation
- progressive sampling
- confidence intervals
- statistical tests
- gaussian process
- posterior distribution
- generalization bounds
- marginal likelihood
- small samples
- vc dimension
- bayesian information criterion
- expert systems
- lower bound
- support vector
- genetic algorithm